Avtor/Urednik		Džeroski, Sašo; Hristovski, Dimitar; Peterlin, Borut
Naslov		Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions
Tip		članek
Vir		J Am Med Inform Assoc
Vol. in št.		, št. Suppl
Leto izdaje		2000
Obseg		str. 215-9
Jezik		eng
Abstrakt		The paper presents a database of published Y chromosome deletions and the results of analyzing the database with data mining techniques. The database describes 382 patients for which 177 different markers were tested: 364 of the 382 patients had deletions. Two data mining techniques, clustering and decision tree induction were used. Clustering was used to group patients according to the overall presence/absence of deletions at the tested markers. Decision trees and On-Line Analytical-Processing (OLAP) were used to inspect the resulting clustering and look for correlations between deletion patterns, populations and the clinical picture of infertility. The results of the analysis indicate that there are correlations between deletion patterns and patient populations, as well as clinical phenotype severity.
Deskriptorji		INFERTILITY, MALE Y CHROMOSOME CHROMOSOME DELETION GENETIC MARKERS DECISION TREES DECISION SUPPORT TECHNIQUES MEDLINE PHENOTYPE INFORMATION STORAGE AND RETRIEVAL CLUSTER ANALYSIS